SECSEC-001 — Model Security Vulnerabilities
LLM Misuse Resistance Gaps Enable Deliberate Harm at Scale
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Large language models present systematic vulnerabilities to intentional misuse by malicious actors seeking to cause harm. Organisations deploying LLMs without robust misuse-resistance controls face regulatory scrutiny and reputational liability under emerging AI governance frameworks.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models’ Alignment (Liu2024) ↗https://airisk.mit.edu/
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